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From Beginner to Pro: Master Data Science & Statistical Computing with R
100% Job Assistance R Language Course
Online 2 hours sessions Every Saturday and Sunday
Offline 1.5 hours sessions 5 days a week from Monday to Friday
�� What is R Programming?
R is an open-source programming language and software environment designed specifically for statistical computing, data analysis, and visualization. It is widely used in academia, research, and data science industries.
Objective: Help learners build a strong foundation in data manipulation, analysis, and visualization using R for real-world decision-making.
✅ Introduction to R & RStudio
Installing R and RStudio IDE
Navigating RStudio interface
Writing and executing R scripts
✅ Basics of R Programming
Data types: numeric, character, logical, factor
Vectors, lists, matrices, data frames
Operators and control structures (if, for, while, etc.)
✅ Data Importing & Exporting
Reading data from CSV, Excel, and databases
Web scraping basics
Writing data to files (CSV, Excel)
✅ Data Wrangling with Tidyverse
dplyr for data manipulation (filter, select, mutate, summarise)
tidyr for data reshaping (gather, spread, separate)
Pipelining with %>% operator
✅ Data Visualization with ggplot2
Grammar of graphics approach
Create bar charts, histograms, scatter plots, box plots, etc.
Customize themes, colors, and labels
✅ Statistical Analysis
Descriptive statistics: mean, median, SD, correlation
Hypothesis testing: t-test, chi-square, ANOVA
Regression analysis (linear, logistic)
✅ Programming with R
Loops, apply family (lapply, sapply)
Debugging and best practices
✅ Working with Dates and Strings
Date/time formats and manipulation using lubridate
String operations using stringr
✅ Exploratory Data Analysis (EDA)
Understanding data distributions
Detecting outliers and missing values
Visual summary techniques
Introduction to Machine Learning in R
Using caret package for ML models
Data partitioning and evaluation metrics
Build models: Decision Trees, k-NN, Linear Regression
Projects and Applications
Healthcare analytics
Customer segmentation
Survey data analysis
Beginners in Data Science and Statistics
Academicians and researchers
Analysts who want to upskill in R
Anyone interested in open-source statistical computing
Who Should Join Cypher Analytica Data Analytics Course?
BBA, BCA, BCom, BA, BSC, MBA, MCA students looking to start a career in Data Analytics.
Working professionals from finance, marketing, operations, or HR.
Freshers eager to enter the booming field of Data Analytics.
Data enthusiasts who want to turn data into actionable insights.
Why Choose Cypher Analytica Over Other Institutes?
Industry-Leading Curriculum
20+ years Experience corporate trainer
Flexible Learning Options
Affordable with Flexible Payment Plans
Live Projects & Hands-on Experience
Recorded Videos & Study Material
Guaranteed Internship Opportunities
Industry-Relevant & Multiple Certifications
Resume Building & Interview preparation
100% Placement Support